End of training

README.md

@@ -12,22 +12,22 @@ metrics:
 - f1
 - accuracy
 model-index:
-- name: ULS-MultiClinNERit-Qwen2.5-14B-procedure
+- name: ULS-MultiClinNERit-Qwen2.5-14B-symptom
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# ULS-MultiClinNERit-Qwen2.5-14B-procedure
+# ULS-MultiClinNERit-Qwen2.5-14B-symptom
 
 This model is a fine-tuned version of [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2989
-- Precision: 0.6558
-- Recall: 0.7047
-- F1: 0.6794
-- Accuracy: 0.9706
+- Loss: 0.3812
+- Precision: 0.4376
+- Recall: 0.5496
+- F1: 0.4873
+- Accuracy: 0.9458
 
 ## Model description
 
@@ -58,16 +58,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 168  | 0.1407          | 0.5757    | 0.5467 | 0.5608 | 0.9607   |
-| No log        | 2.0   | 336  | 0.1008          | 0.6221    | 0.6432 | 0.6325 | 0.9685   |
-| 0.1517        | 3.0   | 504  | 0.0987          | 0.6432    | 0.6630 | 0.6530 | 0.9696   |
-| 0.1517        | 4.0   | 672  | 0.1220          | 0.5998    | 0.6663 | 0.6313 | 0.9675   |
-| 0.1517        | 5.0   | 840  | 0.1683          | 0.6537    | 0.6839 | 0.6685 | 0.9708   |
-| 0.019         | 6.0   | 1008 | 0.2049          | 0.6373    | 0.6905 | 0.6628 | 0.9703   |
-| 0.019         | 7.0   | 1176 | 0.2370          | 0.6642    | 0.6861 | 0.6749 | 0.9712   |
-| 0.019         | 8.0   | 1344 | 0.2879          | 0.6498    | 0.6905 | 0.6695 | 0.9708   |
-| 0.0018        | 9.0   | 1512 | 0.2942          | 0.6508    | 0.7058 | 0.6772 | 0.9705   |
-| 0.0018        | 10.0  | 1680 | 0.2989          | 0.6558    | 0.7047 | 0.6794 | 0.9706   |
+| No log        | 1.0   | 168  | 0.2069          | 0.2694    | 0.2529 | 0.2609 | 0.9208   |
+| No log        | 2.0   | 336  | 0.1667          | 0.3549    | 0.5019 | 0.4158 | 0.9364   |
+| 0.2569        | 3.0   | 504  | 0.1586          | 0.3736    | 0.5389 | 0.4413 | 0.9382   |
+| 0.2569        | 4.0   | 672  | 0.1765          | 0.4043    | 0.5486 | 0.4655 | 0.9412   |
+| 0.2569        | 5.0   | 840  | 0.2056          | 0.4261    | 0.5272 | 0.4713 | 0.9440   |
+| 0.04          | 6.0   | 1008 | 0.2491          | 0.4209    | 0.5593 | 0.4804 | 0.9459   |
+| 0.04          | 7.0   | 1176 | 0.2821          | 0.4333    | 0.5399 | 0.4807 | 0.9463   |
+| 0.04          | 8.0   | 1344 | 0.3583          | 0.4479    | 0.5438 | 0.4912 | 0.9467   |
+| 0.0047        | 9.0   | 1512 | 0.3684          | 0.4477    | 0.5574 | 0.4965 | 0.9464   |
+| 0.0047        | 10.0  | 1680 | 0.3812          | 0.4376    | 0.5496 | 0.4873 | 0.9458   |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:013d728337d704e85c854124c9381025e2dd7066db21cd904cce4ff98e643d60
+oid sha256:614f3622d62bbafbc20ccd192efd6172f2859ba46988c11abdecbd2a5cde606e
 size 100761070